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ORCIDErik Hemberg
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2020 – today
- 2024
[j13]Erik Hemberg, Matthew J. Turner
, Nick Rutar, Una-May O'Reilly:
Enhancements to Threat, Vulnerability, and Mitigation Knowledge for Cyber Analytics, Hunting, and Simulations. DTRAP 5(1): 8:1-8:33 (2024)- [j12]Erik Hemberg, Stephen Moskal, Una-May O'Reilly:
Evolving code with a large language model. Genet. Program. Evolvable Mach. 25(2): 21 (2024) - [c98]Mario Alejandro Hevia Fajardo, Erik Hemberg, Jamal Toutouh, Una-May O'Reilly, Per Kristian Lehre:
A Self-adaptive Coevolutionary Algorithm. GECCO 2024 - [c97]Erik Hemberg, Una-May O'Reilly, Jamal Toutouh:
Cooperative Coevolutionary Spatial Topologies for Autoencoder Training. GECCO 2024 - [c96]Steven Jorgensen, Giorgia Nadizar, Gloria Pietropolli, Luca Manzoni, Eric Medvet, Una-May O'Reilly, Erik Hemberg:
Large Language Model-based Test Case Generation for GP Agents. GECCO 2024 - [c95]Una-May O'Reilly, Erik Hemberg:
Using Large Language Models for Evolutionary Search. GECCO Companion 2024: 973-983 - [i25]Erik Hemberg, Stephen Moskal, Una-May O'Reilly:
Evolving Code with A Large Language Model. CoRR abs/2401.07102 (2024) - 2023
- [j11]Jamal Toutouh, Subhash Nalluru, Erik Hemberg, Una-May O'Reilly:
Semi-supervised generative adversarial networks with spatial coevolution for enhanced image generation and classification. Appl. Soft Comput. 148: 110890 (2023) - [j10]Alexander Shashkov, Erik Hemberg, Miguel Tulla, Una-May O'Reilly:
Adversarial agent-learning for cybersecurity: a comparison of algorithms. Knowl. Eng. Rev. 38: e3 (2023) - [c94]Robert Gold, Henrique Branquinho, Erik Hemberg, Una-May O'Reilly, Pablo García-Sánchez:
Genetic Programming and Coevolution to Play the Bomberman™ Video Game. EvoApplications@EvoStar 2023: 765-779 - [c93]Jamal Toutouh, Subhash Nalluru, Erik Hemberg, Una-May O'Reilly:
Semi-Supervised Learning with Coevolutionary Generative Adversarial Networks. GECCO 2023: 568-576 - [c92]Una-May O'Reilly, Erik Hemberg:
Genetic Programming: A Tutorial Introduction. GECCO Companion 2023: 1026-1036 - [c91]Per Kristian Lehre, Mario Alejandro Hevia Fajardo, Jamal Toutouh, Erik Hemberg, Una-May O'Reilly:
Analysis of a Pairwise Dominance Coevolutionary Algorithm And DefendIt. GECCO 2023: 1027-1035 - [c90]Mario Alejandro Hevia Fajardo, Per Kristian Lehre, Jamal Toutouh, Erik Hemberg, Una-May O'Reilly:
Analysis of a Pairwise Dominance Coevolutionary Algorithm with Spatial Topology. GPTP 2023: 19-44 - [c89]ByeongJo Kong, Erik Hemberg, Ana Bell, Una-May O'Reilly:
Investigating Student's Problem-solving Approaches in MOOCs using Natural Language Processing. LAK 2023: 262-272 - [i24]Aruna Sankaranarayanan, Erik Hemberg, Una-May O'Reilly:
The Facebook Algorithm's Active Role in Climate Advertisement Delivery. CoRR abs/2308.03191 (2023) - [i23]Stephen Moskal, Sam Laney, Erik Hemberg, Una-May O'Reilly:
LLMs Killed the Script Kiddie: How Agents Supported by Large Language Models Change the Landscape of Network Threat Testing. CoRR abs/2310.06936 (2023) - 2022
- [c88]Özlem Özmen Garibay, Niloofar Yousefi, Kevin Aslett, Jacopo A. Baggio, Erik Hemberg, Chathura Jayalath, Alexander V. Mantzaris, Bruce Miller, Una-May O'Reilly, William Rand, Chathurani Senevirathna, Ivan Garibay:
Entropy-Based Characterization of Influence Pathways in Traditional and Social Media. CIC 2022: 38-44 - [c87]Sabrina Tseng, Erik Hemberg, Una-May O'Reilly:
Synthesizing Programs from Program Pieces Using Genetic Programming and Refinement Type Checking. EuroGP 2022: 197-211 - [c86]Dirk Schweim, Erik Hemberg, Dominik Sobania, Una-May O'Reilly:
Exploiting Knowledge from Code to Guide Program Search. EuroGP 2022: 262-277 - [c85]Diana Flores, Erik Hemberg, Jamal Toutouh, Una-May O'Reilly:
Coevolutionary generative adversarial networks for medical image augumentation at scale. GECCO 2022: 367-376 - [c84]Ying Zhao, Erik Hemberg, Nate Derbinsky, Gabino Mata, Una-May O'Reilly:
Using domain knowledge in coevolution and reinforcement learning to simulate a logistics enterprise. GECCO Companion 2022: 514-517 - [c83]Matthew J. Turner, Erik Hemberg, Una-May O'Reilly:
Analyzing multi-agent reinforcement learning and coevolution in cybersecurity. GECCO 2022: 1290-1298 - [c82]Stephen Moskal, Erik Hemberg, Una-May O'Reilly:
CyberEvo: evolutionary search of knowledge-based behaviors in a cyber attack campaign. GECCO Companion 2022: 2168-2176 - [c81]Robert Gold, Andrew Haydn Grant, Erik Hemberg, Chathika Gunaratne, Una-May O'Reilly:
GUI-based, efficient genetic programming for Unity3D. GECCO Companion 2022: 2310-2313 - [c80]Robert Gold, Andrew Haydn Grant, Erik Hemberg, Chathika Gunaratne, Una-May O'Reilly:
GUI-Based, Efficient Genetic Programming and AI Planning for Unity3D. GPTP 2022: 57-79 - 2021
- [j9]Erik Hemberg, Jamal Toutouh, Abdullah Al-Dujaili, Tom Schmiedlechner, Una-May O'Reilly:
Spatial Coevolution for Generative Adversarial Network Training. ACM Trans. Evol. Learn. Optim. 1(2): 6:1-6:28 (2021) - [c79]Jordan Wick, Erik Hemberg, Una-May O'Reilly:
Getting a Head Start on Program Synthesis with Genetic Programming. EuroGP 2021: 263-279 - [c78]Dirk Schweim, Erik Hemberg, Dominik Sobania, Una-May O'Reilly, Franz Rothlauf:
Using knowledge of human-generated code to bias the search in program synthesis with grammatical evolution. GECCO Companion 2021: 331-332 - [c77]Una-May O'Reilly, Erik Hemberg:
Genetic programming: a tutorial introduction. GECCO Companion 2021: 443-453 - [c76]Michal Shlapentokh-Rothman, Jonathan Kelly, Avital Baral, Erik Hemberg, Una-May O'Reilly:
Coevolutionary modeling of cyber attack patterns and mitigations using public datasets. GECCO 2021: 714-722 - [c75]Ying Zhao, Erik Hemberg, Nate Derbinsky, Gabino Mata, Una-May O'Reilly:
Simulating a logistics enterprise using an asymmetrical wargame simulation with soar reinforcement learning and coevolutionary algorithms. GECCO Companion 2021: 1907-1915 - [c74]Alexander Shashkov, Robert Gold, Erik Hemberg, ByeongJo Kong, Ana Bell, Una-May O'Reilly:
Analyzing Student Reflection Sentiments and Problem-Solving Procedures in MOOCs. L@S 2021: 247-250 - [i22]Prakruthi Karuna, Erik Hemberg, Una-May O'Reilly, Nick Rutar:
Automating Cyber Threat Hunting Using NLP, Automated Query Generation, and Genetic Perturbation. CoRR abs/2104.11576 (2021) - [i21]John Emanuello, Kimberly Ferguson-Walter, Erik Hemberg, Una-May O'Reilly, Ahmad Ridley, Dennis Ross, Diane Staheli, William W. Streilein:
Proceedings - AI/ML for Cybersecurity: Challenges, Solutions, and Novel Ideas at SIAM Data Mining 2021. CoRR abs/2104.13254 (2021) - [i20]Jamal Toutouh, Erik Hemberg, Una-May O'Reilly:
Fostering Diversity in Spatial Evolutionary Generative Adversarial Networks. CoRR abs/2106.13590 (2021) - [i19]Erik Hemberg, Una-May O'Reilly:
Using a Collated Cybersecurity Dataset for Machine Learning and Artificial Intelligence. CoRR abs/2108.02618 (2021) - [i18]Chathika Gunaratne, Rene Reyes, Erik Hemberg, Una-May O'Reilly:
Evaluating Efficacy of Indoor Non-Pharmaceutical Interventions against COVID-19 Outbreaks with a Coupled Spatial-SIR Agent-Based Simulation Framework. CoRR abs/2108.11025 (2021) - 2020
- [j8]Una-May O'Reilly, Jamal Toutouh, Marcos A. Pertierra, Daniel Prado Sanchez, Dennis Garcia, Anthony Erb Lugo, Jonathan Kelly, Erik Hemberg:
Adversarial genetic programming for cyber security: a rising application domain where GP matters. Genet. Program. Evolvable Mach. 21(1-2): 219-250 (2020) - [c73]Jamal Toutouh, Erik Hemberg, Una-May O'Reilly:
Re-purposing heterogeneous generative ensembles with evolutionary computation. GECCO 2020: 425-434 - [c72]Una-May O'Reilly, Erik Hemberg:
Genetic programming: a tutorial introduction. GECCO Companion 2020: 512-525 - [c71]Michal Shlapentokh-Rothman, Erik Hemberg, Una-May O'Reilly:
Securing the software defined perimeter with evolutionary co-optimization. GECCO Companion 2020: 1528-1536 - [c70]Emiliano Pérez, Sergio Nesmachnow, Jamal Toutouh, Erik Hemberg, Una-May O'Reilly:
Parallel/distributed implementation of cellular training for generative adversarial neural networks. IPDPS Workshops 2020: 512-518 - [c69]Hao Shen, Leming Liang, Nancy Law, Erik Hemberg, Una-May O'Reilly:
Understanding Learner Behavior Through Learning Design Informed Learning Analytics. L@S 2020: 135-145 - [c68]Hannah Burd, Ana Bell, Erik Hemberg, Una-May O'Reilly:
Analyzing Pre-Existing Knowledge and Performance in a Programming MOOC. L@S 2020: 281-284 - [c67]Robert Gold, Erik Hemberg, Una-May O'Reilly:
Analyzing K-12 Blended MOOC Learning Behaviors. L@S 2020: 345-348 - [c66]Jamal Toutouh, Erik Hemberg, Una-May O'Reilly:
Analyzing the Components of Distributed Coevolutionary GAN Training. PPSN (1) 2020: 552-566 - [p5]Erik Hemberg, Linda Zhang, Una-May O'Reilly:
Exploring Adversarial Artificial Intelligence for Autonomous Adaptive Cyber Defense. Adaptive Autonomous Secure Cyber Systems 2020: 41-61 - [p4]Jamal Toutouh, Erik Hemberg, Una-May O'Reilly:
Data Dieting in GAN Training. Deep Neural Evolution 2020: 379-400 - [i17]Jamal Toutouh, Erik Hemberg, Una-May O'Reilly:
Re-purposing Heterogeneous Generative Ensembles with Evolutionary Computation. CoRR abs/2003.13532 (2020) - [i16]Emiliano Pérez, Sergio Nesmachnow, Jamal Toutouh, Erik Hemberg, Una-May O'Reilly:
Parallel/distributed implementation of cellular training for generative adversarial neural networks. CoRR abs/2004.04633 (2020) - [i15]Jamal Toutouh, Una-May O'Reilly, Erik Hemberg:
Data Dieting in GAN Training. CoRR abs/2004.04642 (2020) - [i14]Una-May O'Reilly, Jamal Toutouh, Marcos A. Pertierra, Daniel Prado Sanchez, Dennis Garcia, Anthony Erb Lugo, Jonathan Kelly, Erik Hemberg:
Adversarial Genetic Programming for Cyber Security: A Rising Application Domain Where GP Matters. CoRR abs/2004.04647 (2020) - [i13]Jamal Toutouh, Erik Hemberg, Una-May O'Reilly:
Analyzing the Components of Distributed Coevolutionary GAN Training. CoRR abs/2008.01124 (2020) - [i12]Erik Hemberg, Jonathan Kelly, Michal Shlapentokh-Rothman, Bryn Marie Reinstadler, Katherine Xu, Nick Rutar, Una-May O'Reilly:
BRON - Linking Attack Tactics, Techniques, and Patterns with Defensive Weaknesses, Vulnerabilities and Affected Platform Configurations. CoRR abs/2010.00533 (2020)
2010 – 2019
- 2019
- [c65]Jonathan Kelly, Erik Hemberg, Una-May O'Reilly:
Improving Genetic Programming with Novel Exploration - Exploitation Control. EuroGP 2019: 64-80 - [c64]Carl Im, Erik Hemberg:
On the use of context sensitive grammars in grammatical evolution for legal non-compliance detection. GECCO (Companion) 2019: 371-372 - [c63]Jamal Toutouh, Erik Hemberg, Una-May O'Reilly:
Spatial evolutionary generative adversarial networks. GECCO 2019: 472-480 - [c62]Una-May O'Reilly, Erik Hemberg:
Introduction to genetic programming. GECCO (Companion) 2019: 710-725 - [c61]Erik Hemberg, Jonathan Kelly, Una-May O'Reilly:
On domain knowledge and novelty to improve program synthesis performance with grammatical evolution. GECCO 2019: 1039-1046 - [c60]Linda Zhang, Erik Hemberg:
Investigating algorithms for finding nash equilibria in cyber security problems. GECCO (Companion) 2019: 1659-1667 - [c59]Jonathan Kelly, Michael DeLaus, Erik Hemberg, Una-May O'Reilly:
Adversarially Adapting Deceptive Views and Reconnaissance Scans on a Software Defined Network. IM 2019: 49-54 - [c58]Mucong Ding, Yanbang Wang, Erik Hemberg, Una-May O'Reilly:
Transfer Learning using Representation Learning in Massive Open Online Courses. LAK 2019: 145-154 - [c57]Yanbang Wang, Nancy Law, Erik Hemberg, Una-May O'Reilly:
Using Detailed Access Trajectories for Learning Behavior Analysis. LAK 2019: 290-299 - [c56]Ayesha Bajwa, Erik Hemberg, Ana Bell, Una-May O'Reilly:
Student Code Trajectories in an Introductory Programming MOOC. L@S 2019: 33:1-33:4 - [c55]Li Wang, Erik Hemberg, Una-May O'Reilly:
On the Influence of Grades on Learning Behavior of Students in MOOCs. L@S 2019: 39:1-39:4 - [c54]Sagar Biswas, Nancy Law, Erik Hemberg, Una-May O'Reilly:
Investigating Learning Design Categorization and Learning Behaviour in Computational MOOCS. L@S 2019: 50:1-50:4 - [c53]Jitesh Maiyuran, Ayesha Bajwa, Ana Bell, Erik Hemberg, Una-May O'Reilly:
How Student Background and Topic Impact the Doer Effect in Computational Thinking MOOCs. LWMOOCS 2019: 47-52 - [c52]Ayesha Bajwa, Ana Bell, Erik Hemberg, Una-May O'Reilly:
Analyzing Student Code Trajectories in an Introductory Programming MOOC. LWMOOCS 2019: 53-58 - [c51]Erik Hemberg, Sagar Biswas, Ayesha Bajwa, Nancy Law, Una-May O'Reilly:
Categorizing Resources and Learners for a Finer-Grained Analysis of MOOC Viewing & Doing. LWMOOCS 2019: 116-121 - [c50]Li Wang, Erik Hemberg, Una-May O'Reilly:
The Influence of Grades on Learning Behavior in MOOCs: Certification vs, Continued Participation. LWMOOCS 2019: 122-127 - [i11]Jamal Toutouh, Erik Hemberg, Una-May O'Reilly:
Spatial Evolutionary Generative Adversarial Networks. CoRR abs/1905.12702 (2019) - 2018
- [c49]Una-May O'Reilly, Erik Hemberg:
An Artificial Coevolutionary Framework for Adversarial AI. AAAI Fall Symposium: ALEC 2018: 50-55 - [c48]Daniel Prado Sanchez, Marcos A. Pertierra, Erik Hemberg, Una-May O'Reilly:
Competitive coevolutionary algorithm decision support. GECCO (Companion) 2018: 300-301 - [c47]Erik Hemberg, Joseph R. Zipkin, Richard William Skowyra, Neal Wagner, Una-May O'Reilly:
Adversarial co-evolution of attack and defense in a segmented computer network environment. GECCO (Companion) 2018: 1648-1655 - [c46]Ruggiero Dargenio, Shashank Srikant, Erik Hemberg, Una-May O'Reilly:
Exploring the Use of Autoencoders for Botnets Traffic Representation. IEEE Symposium on Security and Privacy Workshops 2018: 57-62 - [c45]Abdullah Al-Dujaili, Alex Huang, Erik Hemberg, Una-May O'Reilly:
Adversarial Deep Learning for Robust Detection of Binary Encoded Malware. IEEE Symposium on Security and Privacy Workshops 2018: 76-82 - [p3]Erik Hemberg:
Theory of Disruption in GE. Handbook of Grammatical Evolution 2018: 109-135 - [p2]Michael Fenton, Jonathan Byrne, Erik Hemberg:
Design, Architecture, and Engineering with Grammatical Evolution. Handbook of Grammatical Evolution 2018: 317-339 - [p1]Erik Hemberg, Anthony Erb Lugo, Dennis Garcia, Una-May O'Reilly:
Grammatical Evolution with Coevolutionary Algorithms in Cyber Security. Handbook of Grammatical Evolution 2018: 407-431 - [i10]Alex Huang, Abdullah Al-Dujaili, Erik Hemberg, Una-May O'Reilly:
Adversarial Deep Learning for Robust Detection of Binary Encoded Malware. CoRR abs/1801.02950 (2018) - [i9]Abdullah Al-Dujaili, Erik Hemberg, Una-May O'Reilly:
Approximating Nash Equilibria for Black-Box Games: A Bayesian Optimization Approach. CoRR abs/1804.10586 (2018) - [i8]Alex Huang, Abdullah Al-Dujaili, Erik Hemberg, Una-May O'Reilly:
On Visual Hallmarks of Robustness to Adversarial Malware. CoRR abs/1805.03553 (2018) - [i7]Abdullah Al-Dujaili, Shashank Srikant, Erik Hemberg, Una-May O'Reilly:
On the Application of Danskin's Theorem to Derivative-Free Minimax Optimization. CoRR abs/1805.06322 (2018) - [i6]Tom Schmiedlechner, Abdullah Al-Dujaili, Erik Hemberg, Una-May O'Reilly:
Towards Distributed Coevolutionary GANs. CoRR abs/1807.08194 (2018) - [i5]Tom Schmiedlechner, Ignavier Ng Zhi Yong, Abdullah Al-Dujaili, Erik Hemberg, Una-May O'Reilly:
Lipizzaner: A System That Scales Robust Generative Adversarial Network Training. CoRR abs/1811.12843 (2018) - [i4]Mucong Ding, Yanbang Wang, Erik Hemberg, Una-May O'Reilly:
Transfer Learning using Representation Learning in Massive Open Online Courses. CoRR abs/1812.05043 (2018) - [i3]Yanbang Wang, Nancy Law, Erik Hemberg, Una-May O'Reilly:
Using Detailed Access Trajectories for Learning Behavior Analysis. CoRR abs/1812.05767 (2018) - 2017
- [c44]Stjepan Picek, Erik Hemberg, Una-May O'Reilly:
If You Can't Measure It, You Can't Improve It: Moving Target Defense Metrics. MTD@CCS 2017: 115-118 - [c43]Yongwook Bryce Kim, Erik Hemberg, Una-May O'Reilly:
Collision frequency locality-sensitive hashing for prediction of critical events. EMBC 2017: 3088-3093 - [c42]Pasquale Salza, Erik Hemberg, Filomena Ferrucci, Una-May O'Reilly:
cCube: a cloud microservices architecture for evolutionary machine learning classification. GECCO (Companion) 2017: 137-138 - [c41]Anthony Erb Lugo, Dennis Garcia, Erik Hemberg, Una-May O'Reilly:
Developing proactive defenses for computer networks with coevolutionary genetic algorithms. GECCO (Companion) 2017: 273-274 - [c40]Michael Fenton, James McDermott, David Fagan, Stefan Forstenlechner, Erik Hemberg, Michael O'Neill:
PonyGE2: grammatical evolution in Python. GECCO (Companion) 2017: 1194-1201 - [c39]Pasquale Salza, Erik Hemberg, Filomena Ferrucci, Una-May O'Reilly:
Towards evolutionary machine learning comparison, competition, and collaboration with a multi-cloud platform. GECCO (Companion) 2017: 1263-1270 - [c38]Dennis Garcia, Anthony Erb Lugo, Erik Hemberg, Una-May O'Reilly:
Investigating coevolutionary archive based genetic algorithms on cyber defense networks. GECCO (Companion) 2017: 1455-1462 - [c37]Steven B. Fine, Erik Hemberg, Krzysztof Krawiec, Una-May O'Reilly:
Exploiting Subprograms in Genetic Programming. GPTP 2017: 1-16 - [c36]Stjepan Picek, Erik Hemberg, Domagoj Jakobovic, Una-May O'Reilly:
One-Class Classification of Low Volume DoS Attacks with Genetic Programming. GPTP 2017: 149-168 - [c35]Marcos A. Pertierra, Sarah Lawsky, Erik Hemberg, Una-May O'Reilly:
Towards Formalizing Statute Law as Default Logic through Automatic Semantic Parsing. ASAIL@ICAIL 2017 - [c34]Miguel Paredes, Erik Hemberg, Una-May O'Reilly, Chris Zegras:
Machine learning or discrete choice models for car ownership demand estimation and prediction? MT-ITS 2017: 780-785 - [i2]Michael Fenton, James McDermott, David Fagan, Stefan Forstenlechner, Michael O'Neill, Erik Hemberg:
PonyGE2: Grammatical Evolution in Python. CoRR abs/1703.08535 (2017) - [i1]Alessandro De Palma, Erik Hemberg, Una-May O'Reilly:
Distributed Stratified Locality Sensitive Hashing for Critical Event Prediction in the Cloud. CoRR abs/1712.00206 (2017) - 2016
- [j7]Erik Hemberg, Jacob B. Rosen, Geoff Warner, Sanith Wijesinghe, Una-May O'Reilly:
Detecting tax evasion: a co-evolutionary approach. Artif. Intell. Law 24(2): 149-182 (2016) - [j6]Michael Fenton, Ciaran McNally, Jonathan Byrne, Erik Hemberg, James McDermott, Michael O'Neill:
Discrete Planar Truss Optimization by Node Position Variation Using Grammatical Evolution. IEEE Trans. Evol. Comput. 20(4): 577-589 (2016) - [c33]Yongwook Bryce Kim, Erik Hemberg, Una-May O'Reilly:
Stratified locality-sensitive hashing for accelerated physiological time series retrieval. EMBC 2016: 2479-2483 - [c32]Ignacio Arnaldo, Erik Hemberg, Una-May O'Reilly:
Multi-Line Batch Scheduling by Similarity. GECCO (Companion) 2016: 921-927 - [c31]Jacob B. Rosen, Erik Hemberg, Una-May O'Reilly:
Dynamics of Adversarial Co-evolution in Tax Non-Compliance Detection. GECCO (Companion) 2016: 1087-1094 - [c30]Erik Hemberg, Jacob B. Rosen, Una-May O'Reilly:
Investigating Multi-Population Competitive Coevolution for Anticipation of Tax Evasion. GPTP 2016: 35-51 - 2015
- [j5]Jonathan Byrne, Michael Fenton, Erik Hemberg, James McDermott, Michael O'Neill:
Optimising complex pylon structures with grammatical evolution. Inf. Sci. 316: 582-597 (2015) - [c29]Jacob B. Rosen, Erik Hemberg, Geoff Warner, Sanith Wijesinghe, Una-May O'Reilly:
Computer Aided Tax Evasion Policy Analysis: Directed Search using Autonomous Agents. AAMAS 2015: 1825-1826 - [c28]Erik Hemberg, Jacob B. Rosen, Geoff Warner, Sanith Wijesinghe, Una-May O'Reilly:
Tax non-compliance detection using co-evolution of tax evasion risk and audit likelihood. ICAIL 2015: 79-88 - 2013
- [j4]Erik Hemberg, Lester T. W. Ho, Michael O'Neill, Holger Claussen:
A comparison of grammatical genetic programming grammars for controlling femtocell network coverage. Genet. Program. Evolvable Mach. 14(1): 65-93 (2013) - [j3]Jonathan Byrne, Erik Hemberg, Michael O'Neill, Anthony Brabazon:
A methodology for user directed search in evolutionary design. Genet. Program. Evolvable Mach. 14(3): 287-314 (2013) - [c27]David Fagan, Erik Hemberg, Michael O'Neill, Seán McGarraghy:
Understanding Expansion Order and Phenotypic Connectivity in πGE. EuroGP 2013: 37-48 - [c26]Erik Hemberg, Constantin Berzan, Kalyan Veeramachaneni, Una-May O'Reilly:
Introducing graphical models to analyze genetic programming dynamics. FOGA 2013: 75-86 - [c25]Erik Hemberg, Kalyan Veeramachaneni, Franck Dernoncourt, Mark Wagy, Una-May O'Reilly:
Imprecise selection and fitness approximation in a large-scale evolutionary rule based system for blood pressure prediction. GECCO (Companion) 2013: 153-154 - [c24]Erik Hemberg, Kalyan Veeramachaneni, Franck Dernoncourt, Mark Wagy, Una-May O'Reilly:
Efficient training set use for blood pressure prediction in a large scale learning classifier system. GECCO (Companion) 2013: 1267-1274 - [c23]Babak Hodjat, Erik Hemberg, Hormoz Shahrzad, Una-May O'Reilly:
Maintenance of a Long Running Distributed Genetic Programming System for Solving Problems Requiring Big Data. GPTP 2013: 65-83 - 2012
- [c22]Eoin Murphy, Erik Hemberg, Miguel Nicolau, Michael O'Neill, Anthony Brabazon:
Grammar Bias and Initialisation in Grammar Based Genetic Programming. EuroGP 2012: 85-96 - [c21]Jonathan Byrne, Erik Hemberg, Anthony Brabazon, Michael O'Neill:
A Local Search Interface for Interactive Evolutionary Architectural Design. EvoMUSART 2012: 23-34 - [c20]Erik Hemberg, Kalyan Veeramachaneni, Una-May O'Reilly:
Graphical models and what they reveal about GP when it solves a symbolic regression problem. GECCO (Companion) 2012: 493-494 - [c19]Erik Hemberg, Kalyan Veeramachaneni, James McDermott, Constantin Berzan, Una-May O'Reilly:
An investigation of local patterns for estimation of distribution genetic programming. GECCO 2012: 767-774 - [c18]John Mark Swafford, Miguel Nicolau, Erik Hemberg, Michael O'Neill, Anthony Brabazon:
Comparing methods for module identification in grammatical evolution. GECCO 2012: 823-830 - [c17]David Fagan, Erik Hemberg, Miguel Nicolau, Michael O'Neill, Seán McGarraghy:
Towards adaptive mutation in grammatical evolution. GECCO (Companion) 2012: 1481-1482 - [c16]Erik Hemberg, Lester T. W. Ho, Michael O'Neill, Holger Claussen:
Comparing the robustness of grammatical genetic programming solutions for femtocell algorithms. GECCO (Companion) 2012: 1525-1526 - [c15]John Mark Swafford, Erik Hemberg, Michael O'Neill, Anthony Brabazon:
Analyzing Module Usage in Grammatical Evolution. PPSN (1) 2012: 347-356 - [c14]Eoin Murphy, Miguel Nicolau, Erik Hemberg, Michael O'Neill, Anthony Brabazon:
Differential Gene Expression with Tree-Adjunct Grammars. PPSN (1) 2012: 377-386 - [c13]Erik Hemberg, Lester T. W. Ho, Michael O'Neill, Holger Claussen:
Evolving Femtocell Algorithms with Dynamic and Stationary Training Scenarios. PPSN (2) 2012: 518-527 - 2011
- [j2]Michael O'Neill, Anthony Brabazon, Erik Hemberg:
Tracer spectrum: a visualisation method for distributed evolutionary computation. Genet. Program. Evolvable Mach. 12(2): 161-171 (2011) - [c12]David Fagan, Miguel Nicolau, Erik Hemberg, Michael O'Neill, Anthony Brabazon, Seán McGarraghy:
Investigation of the Performance of Different Mapping Orders for GE on the Max Problem. EuroGP 2011: 286-297 - [c11]Jonathan Byrne, Michael Fenton, Erik Hemberg, James McDermott, Michael O'Neill, Elizabeth Shotton, Ciaran McNally:
Combining Structural Analysis and Multi-Objective Criteria for Evolutionary Architectural Design. EvoApplications (2) 2011: 204-213 - [c10]Jonathan Byrne, Erik Hemberg, Michael O'Neill:
Interactive operators for evolutionary architectural design. GECCO (Companion) 2011: 43-44 - [c9]David Fagan, Miguel Nicolau, Erik Hemberg, Michael O'Neill, Anthony Brabazon:
Dynamic ant: introducing a new benchmark for genetic programming in dynamic environments. GECCO (Companion) 2011: 183-184 - [c8]Erik Hemberg, Lester T. W. Ho, Michael O'Neill, Holger Claussen:
A symbolic regression approach to manage femtocell coverage using grammatical genetic programming. GECCO (Companion) 2011: 639-646 - [c7]John Mark Swafford, Erik Hemberg, Michael O'Neill, Miguel Nicolau, Anthony Brabazon:
A non-destructive grammar modification approach to modularity in grammatical evolution. GECCO 2011: 1411-1418 - 2010
- [j1]Jonatan Hugosson, Erik Hemberg, Anthony Brabazon, Michael O'Neill:
Genotype representations in grammatical evolution. Appl. Soft Comput. 10(1): 36-43 (2010)
2000 – 2009
- 2009
- [c6]Jonathan Byrne, Michael O'Neill, Erik Hemberg, Anthony Brabazon:
Analysis of constant creation techniques on the binomial-3 problem with grammatical evolution. IEEE Congress on Evolutionary Computation 2009: 568-573 - [c5]Erik Hemberg:
An exploration of learning and grammars in grammatical evolution. GECCO (Companion) 2009: 2705-2708 - 2008
- [c4]Michael O'Neill, Anthony Brabazon, Erik Hemberg:
Subtree deactivation control with grammatical Genetic Programming in dynamic environments. IEEE Congress on Evolutionary Computation 2008: 3768-3774 - [c3]Erik Hemberg, Michael O'Neill, Anthony Brabazon:
Grammatical bias and building blocks in meta-grammar Grammatical Evolution. IEEE Congress on Evolutionary Computation 2008: 3775-3782 - [c2]Erik Hemberg, Michael O'Neill, Anthony Brabazon:
Altering Search Rates of the Meta and Solution Grammars in the mGGA. EuroGP 2008: 362-373 - 2007
- [c1]Erik Hemberg, Conor Gilligan, Michael O'Neill, Anthony Brabazon:
A Grammatical Genetic Programming Approach to Modularity in Genetic Algorithms. EuroGP 2007: 1-11
Coauthor Index
[j13] [j12] [c98] [c97] [c96] [c95] [i25] [j11] [j10] [c94] [c93] [c92] [c91] [c90] [c89] [i24] [i23] [c88] [c87] [c86] [c85] [c84] [c83] [c82] [c81] [c80] [j9] [c79] [c78] [c77] [c76] [c75] [c74] [i22] [i21] [i20] [i19] [i18] [j8] [c73] [c72] [c71] [c70] [c69] [c68] [c67] [c66] [p5] [p4] [i17] [i16] [i15] [i14] [i13] [i12] [c65] [c63] [c62] [c61] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [i11] [c49] [c48] [c47] [c46] [c45] [p1] [i10] [i9] [i8] [i7] [i6] [i5] [i4] [i3] [c44] [c43] [c42] [c41] [c39] [c38] [c37] [c36] [c35] [c34] [i1] [j7] [c33] [c32] [c31] [c30] [c29] [c28] [c26] [c25] [c24] [c23] [c20] [c19]
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